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dc.contributor.authorMohan, Sudeept-
dc.date.accessioned2022-12-24T06:47:33Z-
dc.date.available2022-12-24T06:47:33Z-
dc.date.issued2013-
dc.identifier.urihttps://ieeexplore.ieee.org/document/6732060-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8104-
dc.description.abstractDynamic voltage and frequency scaling (DVFS) is one of the popular energy conservation techniques for battery operated real-time and embedded systems. This paper presents EEDVFS, an energy efficient DVFS scheduling algorithm for mixed task set. EEDVFS is a variant of Earliest Deadline First (EDF) based Deferrable Server (DS). Experimental results show that EEDVFS reduces energy consumption without compromising on periodic task deadlines and aperiodic task responsiveness. The results of EEDVFS are compared with non-DVFS EDF version of DS upon various performance metrics such as energy consumption, average response time, latency, preemption count and number of decision points. EEDVFS offers 54% energy saving in comparison with the non-DVFS EDF based DS algorithm.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectComputer Scienceen_US
dc.subjectDynamic voltage and frequency scalingen_US
dc.subjectEnergy Efficient Schedulingen_US
dc.subjectMixed task set Schedulingen_US
dc.titleDynamicvoltage and frequency scaling scheduling algorithm for mixed task seten_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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